Data Engineering Lead

AustraliaAustralia·Sydneylead
OtherData Engineering Lead
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Overview

Sydney or Melbourne | Hybrid working Create better futures together with Westpac. About the role … We are seeking a Data Engineering Lead to play a senior,

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OtherData Engineering Lead

 

  • Sydney or Melbourne | Hybrid working 
  • Create better futures together with Westpac. 

 

About the Role

~1 min read

We are seeking a Data Engineering Lead to play a senior, hands‑on leadership role within Westpac Data Platforms (DP). This role is responsible for leading high‑performing data engineering teams and delivering production‑grade data solutions that support enterprise‑wide data initiatives. 

You will combine strong technical depth with clear delivery ownership, working closely with product owners, service owners, and business stakeholders to translate complex requirements into scalable, reliable data products. You will also help shape how agentic AI is adopted to improve engineering productivity and quality across the data lifecycle. 

 

  • Lead and mentor cross‑functional data engineering and analytics teams across onshore and offshore locations. 
  • Own end to end delivery of data streams, from discovery and design through build, testing, deployment, and operational support. 
  • Own and drive the agentification of engineering workflows—transforming design, development, and testing through the responsible use of agentic AI. 
  • Drive high standards of technical quality, production readiness, and release discipline. 
  • Partner with product owners and business stakeholders to define priorities, scope, and success measures. 
  • Architect and oversee data pipelines using Python, SQL, Azure Synapse, and Informatica. 
  • Ensure data quality, governance, lineage, and lifecycle management across platforms. 
  • Communicate complex technical topics clearly to senior stakeholders, supporting informed decision‑making. 

 

  • Extensive experience in data engineering and analytics within large, complex enterprise environments. 
  • Experience in AI engineering and GenAI delivery, including leading end-to-end delivery of AI/GenAI solutions—from discovery and design through deployment and production support. 
  • Able to build and operationalise GenAI using modern patterns (prompting, RAG, agents/tool use) with appropriate guardrails. 
  • Experience integrating AI capabilities into enterprise platforms and cloud environments, ensuring performance, resilience, security, and cost-effective scaling. 
  • Proven leadership of senior engineers and distributed delivery teams, fostering high performance and strong engineering standards. 
  • Strong hands-on expertise in Python, SQL, Informatica, Unix, and Control‑M, with the ability to dive deep when required. 
  • Experience delivering data solutions on Azure platforms, including Azure Synapse, within enterprise-scale architectures. 
  • Solid experience with Snowflake and Teradata in large, production environments. 
  • Strong understanding of data architecture, data modelling, and integration patterns, with the ability to design scalable and maintainable solutions. 
  • Experience with agentic AI, autonomous agents, or intelligent automation tools, and an interest in applying these capabilities to real-world data problems. 
  • Demonstrated ability to deliver production-grade solutions, underpinned by strong operational discipline and supportability. 
  • Experience engaging senior business stakeholders, translating complex requirements into clear technical outcomes. 
  • Clear communication skills, with confidence operating in governance, risk, and release forums, and experience supporting large-scale data platform modernisation initiatives. 
  • Experience supporting large‑scale data platform modernisation initiatives. 
  • Exposure to data migration and integrated testing environments. 
  • Experience working in regulated environments with strong data governance requirements. 
  • Background in Lean, Design Thinking, or scaled agile delivery frameworks. 

You will be part of a team shaping how enterprise data is engineered, governed, and activated to deliver value across customer, risk, and operational domains. This role offers the opportunity to combine deep technical leadership with real business impact, while working in an environment that values accountability, innovation, and disciplined delivery. 

What We Offer

~1 min read

We’re obsessed with becoming our customers' #1 banking partner for life and we’re looking for people who are passionate about helping us achieve that goal.

In return, we’re committed to making Westpac the best place to work in the country. Here are just a few of the ways we’re already doing that:

Special offers on banking products and discounts from top brands, including generous employee-only mortgage rates!
Flexible work arrangements to help you achieve a greater work/life balance, and a variety of leave options including Culture, Lifestyle and Wellbeing leave.
Tailored learning and development opportunities to help your grow your career within the bank.
Lots of opportunities to ‘give back’ to the Community by getting involved in our many volunteering initiatives.

To get started, simply click on the APPLY or APPLY NOW button. 

We’re all about creating a supportive and inclusive community. We welcome everyone – no matter your age, gender, background, or abilities. We also provide additional support to welcome our veterans, Indigenous Australians and neurodiverse community.

If you need any adjustments during the recruitment process, you can find out more information and additional contact details by visiting the "People with Disability and/or needing Accessibility Requirements" page on our website.

 

 

 

 

Location & Eligibility

Where is the job
Sydney, Australia
On-site at the office
Who can apply
AU

Listing Details

Posted
May 20, 2026
First seen
May 20, 2026
Last seen
May 21, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
51%
Scored at
May 20, 2026

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Westpac Banking CorporationData Engineering Lead